Fauna habitat modelling and mapping: A review and case study in the Lower Hunter Central Coast region of NSW
Identifieur interne : 001249 ( Istex/Corpus ); précédent : 001248; suivant : 001250Fauna habitat modelling and mapping: A review and case study in the Lower Hunter Central Coast region of NSW
Auteurs : Brendan A. Wintle ; Jane Elith ; Joanne M. PottsSource :
- Austral Ecology [ 1442-9985 ] ; 2005-11.
English descriptors
- KwdEn :
Abstract
Abstract Habitat models are now broadly used in conservation planning on public lands. If implemented correctly, habitat modelling is a transparent and repeatable technique for describing and mapping biodiversity values, and its application in peri‐urban and agricultural landscape planning is likely to expand rapidly. Conservation planning in such landscapes must be robust to the scrutiny that arises when biodiversity constraints are placed on developers and private landholders. A standardized modelling and model evaluation method based on widely accepted techniques will improve the robustness of conservation plans. We review current habitat modelling and model evaluation methods and provide a habitat modelling case study in the New South Wales central coast region that we hope will serve as a methodological template for conservation planners. We make recommendations on modelling methods that are appropriate when presence‐absence and presence‐only survey data are available and provide methodological details and a website with data and training material for modellers. Our aim is to provide practical guidelines that preserve methodological rigour and result in defendable habitat models and maps. The case study was undertaken in a rapidly developing area with substantial biodiversity values under urbanization pressure. Habitat maps for seven priority fauna species were developed using logistic regression models of species‐habitat relationships and a bootstrapping methodology was used to evaluate model predictions. The modelled species were the koala, tiger quoll, squirrel glider, yellow‐bellied glider, masked owl, powerful owl and sooty owl. Models ranked sites adequately in terms of habitat suitability and provided predictions of sufficient reliability for the purpose of identifying preliminary conservation priority areas. However, they are subject to multiple uncertainties and should not be viewed as a completely accurate representation of the distribution of species habitat. We recommend the use of model prediction in an adaptive framework whereby models are iteratively updated and refined as new data become available.
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DOI: 10.1111/j.1442-9993.2005.01514.x
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ISTEX:AC0647A9B84D1709B13FC29C1CDEC58473003A13Le document en format XML
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Our aim is to provide practical guidelines that preserve methodological rigour and result in defendable habitat models and maps. The case study was undertaken in a rapidly developing area with substantial biodiversity values under urbanization pressure. Habitat maps for seven priority fauna species were developed using logistic regression models of species‐habitat relationships and a bootstrapping methodology was used to evaluate model predictions. The modelled species were the koala, tiger quoll, squirrel glider, yellow‐bellied glider, masked owl, powerful owl and sooty owl. Models ranked sites adequately in terms of habitat suitability and provided predictions of sufficient reliability for the purpose of identifying preliminary conservation priority areas. However, they are subject to multiple uncertainties and should not be viewed as a completely accurate representation of the distribution of species habitat. 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A. WINTLE <i>ET AL.</i></title><title type="short">HABITAT MODELLING FOR CONSERVATION PLANNING</title></titleGroup><creators><creator creatorRole="author" xml:id="cr1" affiliationRef="#a1"><personName><givenNames>BRENDAN A.</givenNames><familyName>WINTLE</familyName></personName></creator><creator creatorRole="author" xml:id="cr2" affiliationRef="#a1"><personName><givenNames>JANE</givenNames><familyName>ELITH</familyName></personName></creator><creator creatorRole="author" xml:id="cr3" affiliationRef="#a1"><personName><givenNames>JOANNE M.</givenNames><familyName>POTTS</familyName></personName></creator></creators><affiliationGroup><affiliation xml:id="a1" countryCode="AU"><unparsedAffiliation> School of Botany, The University of Melbourne, Vic. 3010, Australia (Email: <email>brendanw@unimelb.edu.au</email>)</unparsedAffiliation></affiliation></affiliationGroup><keywordGroup xml:lang="en"><keyword xml:id="k1">bootstrapping</keyword><keyword xml:id="k2">conservation planning</keyword><keyword xml:id="k3">habitat modelling</keyword><keyword xml:id="k4">logistic regression</keyword><keyword xml:id="k5">model evaluation</keyword><keyword xml:id="k6">ROC</keyword></keywordGroup><abstractGroup><abstract type="main" xml:lang="en"><p><b>Abstract </b> Habitat models are now broadly used in conservation planning on public lands. If implemented correctly, habitat modelling is a transparent and repeatable technique for describing and mapping biodiversity values, and its application in peri‐urban and agricultural landscape planning is likely to expand rapidly. Conservation planning in such landscapes must be robust to the scrutiny that arises when biodiversity constraints are placed on developers and private landholders. A standardized modelling and model evaluation method based on widely accepted techniques will improve the robustness of conservation plans. We review current habitat modelling and model evaluation methods and provide a habitat modelling case study in the New South Wales central coast region that we hope will serve as a methodological template for conservation planners. We make recommendations on modelling methods that are appropriate when presence‐absence and presence‐only survey data are available and provide methodological details and a website with data and training material for modellers. Our aim is to provide practical guidelines that preserve methodological rigour and result in defendable habitat models and maps. The case study was undertaken in a rapidly developing area with substantial biodiversity values under urbanization pressure. Habitat maps for seven priority fauna species were developed using logistic regression models of species‐habitat relationships and a bootstrapping methodology was used to evaluate model predictions. The modelled species were the koala, tiger quoll, squirrel glider, yellow‐bellied glider, masked owl, powerful owl and sooty owl. Models ranked sites adequately in terms of habitat suitability and provided predictions of sufficient reliability for the purpose of identifying preliminary conservation priority areas. However, they are subject to multiple uncertainties and should not be viewed as a completely accurate representation of the distribution of species habitat. We recommend the use of model prediction in an adaptive framework whereby models are iteratively updated and refined as new data become available.</p></abstract></abstractGroup></contentMeta></header></component></istex:document></istex:metadataXml><mods version="3.6"><titleInfo lang="en"><title>Fauna habitat modelling and mapping: A review and case study in the Lower Hunter Central Coast region of NSW</title></titleInfo><titleInfo type="abbreviated" lang="en"><title>HABITAT MODELLING FOR CONSERVATION PLANNING</title></titleInfo><titleInfo type="alternative" contentType="CDATA" lang="en"><title>Fauna habitat modelling and mapping: A review and case study in the Lower Hunter Central Coast region of NSW</title></titleInfo><name type="personal"><namePart type="given">BRENDAN A.</namePart><namePart type="family">WINTLE</namePart><affiliation>School of Botany, The University of Melbourne, Vic. 3010, Australia (Email: brendanw@unimelb.edu.au)</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">JANE</namePart><namePart type="family">ELITH</namePart><affiliation>School of Botany, The University of Melbourne, Vic. 3010, Australia (Email: brendanw@unimelb.edu.au)</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">JOANNE M.</namePart><namePart type="family">POTTS</namePart><affiliation>School of Botany, The University of Melbourne, Vic. 3010, Australia (Email: brendanw@unimelb.edu.au)</affiliation><role><roleTerm type="text">author</roleTerm></role></name><typeOfResource>text</typeOfResource><genre type="article" displayLabel="article"></genre><originInfo><publisher>Blackwell Science Pty</publisher><place><placeTerm type="text">Melbourne, Australia</placeTerm></place><dateIssued encoding="w3cdtf">2005-11</dateIssued><edition>Accepted for publication March 2005.</edition><copyrightDate encoding="w3cdtf">2005</copyrightDate></originInfo><language><languageTerm type="code" authority="rfc3066">en</languageTerm><languageTerm type="code" authority="iso639-2b">eng</languageTerm></language><physicalDescription><internetMediaType>text/html</internetMediaType><extent unit="figures">4</extent><extent unit="tables">3</extent><extent unit="formulas">1</extent><extent unit="references">102</extent><extent unit="words">11652</extent></physicalDescription><abstract>Abstract Habitat models are now broadly used in conservation planning on public lands. If implemented correctly, habitat modelling is a transparent and repeatable technique for describing and mapping biodiversity values, and its application in peri‐urban and agricultural landscape planning is likely to expand rapidly. Conservation planning in such landscapes must be robust to the scrutiny that arises when biodiversity constraints are placed on developers and private landholders. A standardized modelling and model evaluation method based on widely accepted techniques will improve the robustness of conservation plans. We review current habitat modelling and model evaluation methods and provide a habitat modelling case study in the New South Wales central coast region that we hope will serve as a methodological template for conservation planners. We make recommendations on modelling methods that are appropriate when presence‐absence and presence‐only survey data are available and provide methodological details and a website with data and training material for modellers. Our aim is to provide practical guidelines that preserve methodological rigour and result in defendable habitat models and maps. The case study was undertaken in a rapidly developing area with substantial biodiversity values under urbanization pressure. Habitat maps for seven priority fauna species were developed using logistic regression models of species‐habitat relationships and a bootstrapping methodology was used to evaluate model predictions. The modelled species were the koala, tiger quoll, squirrel glider, yellow‐bellied glider, masked owl, powerful owl and sooty owl. Models ranked sites adequately in terms of habitat suitability and provided predictions of sufficient reliability for the purpose of identifying preliminary conservation priority areas. However, they are subject to multiple uncertainties and should not be viewed as a completely accurate representation of the distribution of species habitat. We recommend the use of model prediction in an adaptive framework whereby models are iteratively updated and refined as new data become available.</abstract><subject lang="en"><genre>keywords</genre><topic>bootstrapping</topic><topic>conservation planning</topic><topic>habitat modelling</topic><topic>logistic regression</topic><topic>model evaluation</topic><topic>ROC</topic></subject><relatedItem type="host"><titleInfo><title>Austral Ecology</title></titleInfo><genre type="journal">journal</genre><identifier type="ISSN">1442-9985</identifier><identifier type="eISSN">1442-9993</identifier><identifier type="DOI">10.1111/(ISSN)1442-9993</identifier><identifier type="PublisherID">AEC</identifier><part><date>2005</date><detail type="volume"><caption>vol.</caption><number>30</number></detail><detail type="issue"><caption>no.</caption><number>7</number></detail><extent unit="pages"><start>719</start><end>738</end><total>20</total></extent></part></relatedItem><identifier type="istex">AC0647A9B84D1709B13FC29C1CDEC58473003A13</identifier><identifier type="DOI">10.1111/j.1442-9993.2005.01514.x</identifier><identifier type="ArticleID">AEC1514</identifier><recordInfo><recordContentSource>WILEY</recordContentSource><recordOrigin>Blackwell Science Pty</recordOrigin></recordInfo></mods></metadata><serie></serie></istex></record>Pour manipuler ce document sous Unix (Dilib)
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|texte= Fauna habitat modelling and mapping: A review and case study in the Lower Hunter Central Coast region of NSW
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